activity
20172019
most citedA Hybrid Q-Learning Sine-Cosine-based Strategy for Addressing the Combinatorial Test Suite Minimization Problem

81 citations · 138 across the 4 of their papers we have counts for

collaborators

4 papers

cs.NE2019★ 56 cited

Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites

Kamal Z. Zamli, Fakhrud Din, Salmi Baharom +1

The teaching learning-based optimization (TLBO) algorithm has shown competitive performance in solving numerous real-world optimization problems. Nevertheless, this algorithm requi…

cs.SE2019

Software Module Clustering based on the Fuzzy Adaptive Teaching Learning based Optimization Algorithm

Kamal Z. Zamli, Fakhrud Din, Nazirah Ramli +1

Although showing competitive performances in many real-world optimization problems, Teaching Learning based Optimization Algorithm (TLBO) has been criticized for having poor contro…

cs.AI2018★ 81 cited

A Hybrid Q-Learning Sine-Cosine-based Strategy for Addressing the Combinatorial Test Suite Minimization Problem

Kamal Z. Zamli, Fakhrud Din, Bestoun S. Ahmed +1

The sine-cosine algorithm (SCA) is a new population-based meta-heuristic algorithm. In addition to exploiting sine and cosine functions to perform local and global searches (hence…

cs.SE2017★ 1 cited

Supplementary Material for the Information Sciences Paper: An Experimental Study of Hyper-Heuristic Selection and Acceptance Mechanism for Combinatorial t-way Test Suite Generation

Kamal Z. Zamli, Fakhrud Din, Graham Kendall +1

Software testing relates to the process of accessing the functionality of a program against some defined specifications. To ensure conformance, test engineers often generate a set…